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About

Won-Joo Hwang is a prominent researcher specializing in next-generation wireless communications, edge computing, and computer vision, whose work has significantly shaped our understanding of emerging network architectures and technologies. Based at the intersection of theory and practical implementation, Hwang has made substantial contributions to the fields of 5G, 6G, and Multi-Access Edge Computing (MEC). His most influential work, a comprehensive survey on Multi-Access Edge Computing in 5G and beyond, has garnered an remarkable 846 citations, establishing itself as a foundational reference for researchers navigating the complexities of IoT-driven network demands and computation offloading. Complementing this, his forward-looking survey on 6G frontiers — covering applications from holographic telepresence to deep-sea exploration — has attracted 762 citations, demonstrating his ability to anticipate and articulate the trajectory of next-generation connectivity. Beyond network architecture, Hwang has extended his expertise into deep learning applications, developing FastMDE, a novel CNN architecture enabling real-time monocular depth estimation for autonomous vehicles and robotics. With cumulative citations exceeding 1,600, his body of work reflects both breadth and depth, making him an essential voice for students and researchers exploring the future of intelligent, connected systems.